Abstract: The paper discusses the application of grey system theory to image retrieval using relevance feedback and proposes a kind of image retrieval algorithm using relevance feedback based on grey system theory. It dynamically updates the query vectors in order to make image retrieval results nearer to people’s subjective perception, so it has the character of self-adaptation. The experiment results indicate that the method in the article is very effectual.

Key words: Grey system, Grey number, Relevance feedback, Content-based image retrieval

摘要： 探讨了灰色系统理论在相关反馈图像检索中的应用，提出了一种基于灰色系统理论的相关反馈图像检索算法，动态地更新查询向量，从而使图像检索结果与人的主观感知更加接近，具有自适应性。实验结果表明，文中的方法是很有效的。

关键词: 灰色系统, 灰数, 相关反馈, 基于内容的图像检索